Data Scientist - Security Analytics & RMF Automation

Erias Ventures; Maryland; On-site; USD 225,000 - 273,000; Full time

Benefits offered by this job

Above market pay

Immediate vesting 401k

Spot bonuses for growth

Professional development bonuses

Health and wellness benefits

Paid time off

Equipment and supplies allowance

Onboarding and swag

Job summary

Erias Ventures seeks a data scientist to automate its security evaluation process and support continuous monitoring across critical systems. You will transform a manual RMF workflow into an automated, intelligence-driven model and contribute to rapid decision making and secure project lifecycles.

You will develop ETL pipelines, validate data with Python, and help design scalable dataflows for RMF automation while leveraging your statistical and analytical expertise.

Qualifications

• 10 years analyzing datasets and developing analytics.
• 10 years programming in R, Python, SAS, or MATLAB.

Responsibilities

• Develop and enhance automated capabilities replacing manual security evaluation and authorization processes.
• Use Python to process, analyze, and validate security data meeting requirements.
• Detect anomalies to assess RMF lifecycle progress.
• Identify system associations for resources using attributes and metadata.
• Design, build, and maintain ETL pipelines from multiple sources.
• Transform data for reporting, analysis, and automated assessments.
• Support data engineering with data quality checks, pipeline monitoring, and workflow optimization.
• Enable scalable dataflows to support continuous monitoring and RMF automation.

Skills

Data analysis

R/Python/SAS/MATLAB

Tools

Elasticsearch

Regex

SQL

MongoDB

Grafana

Graphite

InfluxDB

Job description

Erias Ventures seeks a data scientist to automate its security evaluation process and support continuous monitoring across critical systems. You will transform a manual RMF workflow into an automated, intelligence-driven model and contribute to rapid decision making and secure project lifecycles.

You will develop ETL pipelines, validate data with Python, and help design scalable dataflows for RMF automation while leveraging your statistical and analytical expertise.